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Odd-Low-Pass Filter for A Wave-Corrected Assessment of the Local Midplane

Authors: Yin, Ziyuan; Hinkel, Austin;

Odd-Low-Pass Filter for A Wave-Corrected Assessment of the Local Midplane

Abstract

Software for the paper titled "A wave-corrected assessment of the local midplane", published in the Astrophysical Journal (ApJ). The paper proposes an Odd-Low-Pass filter (OLPF) that removes small, odd-parity structures (like the vertical waves) from the observation of the Milky Way, allowing for more accurate analyses of the Galaxy's midplane and vertical structures. The Python code here encompasses the OLPF, Verlet Integration Simulation, and midplane analysis without the OLPF, as discussed in the paper. OLPF.py (errorbar.py) File that filters the input data with the OLPF and produces the average vertical height of each radial bin with error bars in a figure. It also includes a method to investigate the effects of OLPF by subtracting the OLPF'd data from the raw data. Verlet Integration Simulation.py Simulation using Verlet Integration that plots the motion of a selected number of stars in the vertical direction after every timestep of choice, considering gravity and background potentials. analysis without OLPF.py Midplane analysis without OLPF that produces the average vertical height of each radial bin with error bars in a figure. The midplane analysis is the same as in the OLPF.py except the raw data is not OLPF'd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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